Keyword : domain adaptation

Cross-Corpus Speech Emotion Recognition Based on Deep Domain-Adaptive Convolutional Neural Network
Jiateng LIU Wenming ZHENG Yuan ZONG Cheng LU Chuangao TANG 
Publication:   
Publication Date: 2020/02/01
Vol. E103-D  No. 2 ; pp. 459-463
Type of Manuscript:  LETTER
Category: Pattern Recognition
Keyword: 
cross-corpus speech emotion recognition, deep convolutional neural network, domain adaptation, 
 Summary | Full Text:PDF(527.3KB)
Target-Adapted Subspace Learning for Cross-Corpus Speech Emotion Recognition
Xiuzhen CHEN Xiaoyan ZHOU Cheng LU Yuan ZONG Wenming ZHENG Chuangao TANG 
Publication:   
Publication Date: 2019/12/01
Vol. E102-D  No. 12 ; pp. 2632-2636
Type of Manuscript:  LETTER
Category: Speech and Hearing
Keyword: 
cross-corpus speech emotion recognition, transfer learning, domain adaptation, subspace learning, 
 Summary | Full Text:PDF(93.9KB)
Unsupervised Cross-Database Micro-Expression Recognition Using Target-Adapted Least-Squares Regression
Lingyan LI Xiaoyan ZHOU Yuan ZONG Wenming ZHENG Xiuzhen CHEN Jingang SHI Peng SONG 
Publication:   
Publication Date: 2019/07/01
Vol. E102-D  No. 7 ; pp. 1417-1421
Type of Manuscript:  LETTER
Category: Pattern Recognition
Keyword: 
cross-database micro-expression recognition, micro-expression recognition, domain adaptation, transfer learning, least-squares regression, 
 Summary | Full Text:PDF(106KB)
Feature Based Domain Adaptation for Neural Network Language Models with Factorised Hidden Layers
Michael HENTSCHEL Marc DELCROIX Atsunori OGAWA Tomoharu IWATA Tomohiro NAKATANI 
Publication:   
Publication Date: 2019/03/01
Vol. E102-D  No. 3 ; pp. 598-608
Type of Manuscript:  PAPER
Category: Speech and Hearing
Keyword: 
language model, LSTM, domain adaptation, unsupervised, latent Dirichlet allocation, 
 Summary | Full Text:PDF(1.7MB)
Domain Adaptation Based on Mixture of Latent Words Language Models for Automatic Speech Recognition
Ryo MASUMURA Taichi ASAMI Takanobu OBA Hirokazu MASATAKI Sumitaka SAKAUCHI Akinori ITO 
Publication:   
Publication Date: 2018/06/01
Vol. E101-D  No. 6 ; pp. 1581-1590
Type of Manuscript:  PAPER
Category: Speech and Hearing
Keyword: 
domain adaptation, mixture modeling, latent words language models, latent variable space, automatic speech recognition, 
 Summary | Full Text:PDF(792.7KB)